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RESUME

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Professional ​
info​​

An experienced Data Science Professional with a strong background in data analysis, machine learning, reporting, big data, and statistics. Implementing machine learning models using AWS lambda, Redshift, and Snowflake

Work​
experience​

Data Scientist - Sunstate Equipment. Co..,LLC

2018 - present

 

 

 

 

Data Scientist - Synechron

2017 - 2018

 

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  • Contributed to the implementation of K-Means Clustering on call notes data and analyzed the various reasons the customers call in.

  • Automated daily call volume reports by building a python framework which reduced the time and manual efforts up-to 90%, increasing productivity.

  • Analyzed large volumes of data to identify the key factors that impact customer churn rate and recommended better marketing and customer services strategies to reduce the impact of voluntary churn by 15%.

  •  Developed dashboards using Spotfire and Tableau for reporting and analysis

  • Used data science and statistical techniques like Linear regression, t-test, ANOVA to answer targeted business questions

  • Worked on all facets of the SQL Server Services group: Database Services, Reporting Services (SSRS), Integration Services (SSIS) and Analysis Services (SSAS) for reporting and integrating.

 

 

Data Analyst - Zen Technologies Ltd

2013 - 2015 

  •  Cleaned and formatted data for different market and consolidated them to develop the master database. 

  • Wrote complex T-SQL queries utilizing multiple inner joins, self joins, and subqueries which query multiple databases 

  • Utilizing Power BI to design intuitive, interactive data visualizations

 

 

Skills

Machine Learning

Big Data

Statistics

Data Mining

Data Visualization

Neural Networks

Deep Learning

Languages

Python

R language

C language

Tableau

Spotfire

Power BI

SAS

SQL

Hive

Education

University of North Carolina Charlotte

​Jan 2016 -​ Dec 2016 

Master's in Data Science and Business Analytics

  • Database Management

  • Statistics

  • Big Data and Competitive Advantage

  • Mobile Marketing

  • Mathematics for Data Analysis

  • Data Mining and Warehousing

  • Visual Analytics

  • Business Intelligence 

  • Advanced Business Analytics 

  • Machine Learning

 

Yogi Vemana University 

​2009 - 2013

Mechanical Engineering

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